Triple

T11205493
Position Surface form Disambiguated ID Type / Status
Subject Yang monopole E265148 entity
Predicate topologicalCharge P97849 FINISHED
Object second Chern number LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: second Chern number | Statement: [Yang monopole, topologicalCharge, second Chern number]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topologicalCharge
Context triple: [Yang monopole, topologicalCharge, second Chern number]
  • A. topologicalChargeGroup
    Indicates a relationship where entities are associated through sharing or belonging to the same topological charge group, typically classifying them by their topological charge properties.
  • B. magneticCharge
    Indicates that an entity possesses a specified magnetic charge or is associated with a particular quantity or type of magnetic charge.
  • C. magneticChargeQuantization
    Indicates that the magnetic charge of an entity can only take on discrete, quantized values rather than varying continuously.
  • D. hasChargeConjugation
    Indicates that one entity is the charge-conjugated counterpart (particle vs. antiparticle form) of another entity.
  • E. EulerCharacteristic
    Indicates the topological invariant of a space that equals, in a suitable decomposition, the alternating sum of the counts of its cells (e.g., vertices − edges + faces).
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d4eef88190a7f05bca82d919b9 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf83464819087529d47d025d313 completed April 9, 2026, 8:02 a.m.
PDg Predicate description generation batch_69d77062271c8190b63da714ab5beff9 completed April 9, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:30 p.m.